To the best of our knowledge, among the state of the art SISR algorithms that have Matlab source code released, GR [1]} is the fastest. We compare the accuracy and speed of our method with GR. In this experiment, we fix the interpolation function \(f\)  to be Lanczos. Table REF  shows the comparison, and Fig.REF  shows a visual assessment. Relative to GR, the PSNR of our method is generally around \(0.2\) dB lower for various scaling factors. However, on BSD100 the accuracy performance are very close. This might be attributed to the integration weights learned from BSD200, and suggests the potential for higher performance by using more sophisticated training strategy. It should be noted that the proposed warping model has merely 6 parameters, and the computation is tens of times faster.
<TABLE><FIGURE>